Sonderforschungsbereich (SFB) 531 : [249]

The field of Computational Intelligence (CI) covers all sorts of techniques for subsymbolic (numerical) knowledge processing, such as the well known Fuzzy Logic (FL), Neural Networks (NN), and Evolutionary Algorithms (EA) as well as other approaches with lesser dissemination. Although CI techniques are widely in use, there still exists a large gap between theory and application. To close this gap the Collaborative Research Center (SFB) 531 has been founded at the University of Dortmund in 1997 as an interdisciplinary research institute. It is financially supported by the Deutsche Forschungsgemeinschaft (DFG). The scientific goals of the SFB are the investigation and improvement of the foundations, applications, as well as combinations of CI methods.

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Collection's Items (Sorted by Submit Date in Descending order): 181 to 200 of 249
Issue DateTitleAuthor(s)
2001-10-16The Fundamental Matrix of the General Random Walk with Absorbing BoundariesRudolph, Günter
2001-10-16On Takeover Times in Spatially Structured Populations : Array and RingRudolph, Günter
2001-10-16Self-Adaptive Mutations May Lead to Premature ConvergenceRudolph, Günter
2001-10-16Approximating the Pareto setLaumanns, Marco; Rudolph, Günther; Schwefel, Hans-Paul
2001-10-16Evolving Solutions for Design and Management Tasks on ComputersSchwefel, H.-P.
2001-10-16Comparison of Neural Networks, Evolutionary Techniques and Thermodynamic Group Contribution Methods for the Prediction of Heats of VaporizationGeyer, Hannes; Mandischer, Martin; Ulbig, Peter
2001-10-16On the Analysis of Self-Adaptive Evolutionary AlgorithmsBeyer, Hans-Georg; Kalyanmoy Deb
2001-10-16On the Analysis of a Simple Evolutionary Algorithm With Dynamic Parameter ControlDroste, Stefan; Jansen, Thomas
2001-10-16Evolutionary Search under Partially Ordered Fitness SetsRudolph, Günter
2001-10-16Vergleich zwischen klassischen und verschachtelten Evolutionsstrategien am Beispiel einer nichtlinearen Regression an Oberflächenspannungen in IRE2Bräuer, P.; Geyer, H.; Schulz, S.; Ulbig, P.
2001-10-16Self-Adaptive Genetic Algorithms with Simulated Binary CrossoverBeyer, Hans-Georg; Deb, Kalyanmoy
2001-10-16Non-linear Goal Programming Using Multi-Objective Genetic AlgorithmsDeb, Kalyanmoy
2001-10-16Self-Adaptation and Global Convergence : A Counter-ExampleRudolph, Günter
2001-10-16Approximations by OBDDs and the Variable Ordering ProblemKrause, Matthias; Savicky, Petr; Wegener, Ingo
2001-10-16A Comparison of Approximation Algorithms for the MaxCut-ProblemDolezal, Oliver; Hofmeister, Thomas; Lefmann, Hanno
2001-10-16Hierarchical Genetic Programming using Local ModulesBanscherus, Dirk; Banzhaf, Wolfgang; Dittrich, Peter
2001-10-16A Unified Model of Non-Panmictic Population Structures in Evolutionary AlgorithmsSprave, Joachim
2001-10-16Ease - Evolutionary Algorithms Scripting EnvironmentSprave, Joachim
2001-10-16Aufarbeitung von Fließbildinformationen für die Zuverlässigkeitsanalyse technischer Anlagen und ihre Umsetzung in einen FehlerbaumBecker, C.; Schecker, H.-G.
2001-10-16On the Analysis of Evolutionary AlgorithmsJansen, Thomas; Wegener, Ingo
Collection's Items (Sorted by Submit Date in Descending order): 181 to 200 of 249